Repetitive atrial activation during ongoing atrial fibrillation-comparison using different mapping algorithms: preliminary findings.
J Interv Card Electrophysiol
; 49(1): 67-74, 2017 Jun.
Article
em En
| MEDLINE
| ID: mdl-28364320
PURPOSE: Targeting repetitive sources identified during atrial fibrillation (focal impulse and rotor modulation, FIRM) has been used as an ablation strategy using specific mapping tools. Aim of this study was to evaluate FIRM mapped rotors with a new multipolar mapping algorithm. METHODS: Patients with persistent atrial fibrillation undergoing FIRM ablation were included. Mapping of left atrial rotors was performed with a 64-pole basket catheter in conjunction with a specialized phase mapping algorithm. Subsequently, raw signals were analyzed by a novel mapping system (CARTOFINDER™). Comparison of FIRM identified sources with areas of repetitive activation analyzed by CARTOFINDER™ was performed. RESULTS: Nine patients were included (5 redo procedures; male n = 6; 66.5 ± 8.6 years) and 28 left atrial rotors were compared with the findings of the novel mapping system. CARTOFINDER™ identified repetitive activation patterns in 6 mapping sequences at remote sites (2 rotational patterns, 4 linear activation patterns). CONCLUSIONS: In this comparative preliminary study, two different mapping technologies to detect repetitive atrial activation during ongoing AF were used. Whereas rotational activation was documented using FIRM mapping no corresponding repetitive activation patterns near sites of FIRM-mapped rotor cores were identified using the novel mapping technology even though using the same electrogram characteristics and mapping basket position.
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Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Fibrilação Atrial
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Algoritmos
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Ablação por Cateter
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Mapeamento Potencial de Superfície Corporal
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Cirurgia Assistida por Computador
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Sistema de Condução Cardíaco
Tipo de estudo:
Diagnostic_studies
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Evaluation_studies
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Prognostic_studies
Limite:
Aged
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Female
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Humans
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Male
Idioma:
En
Ano de publicação:
2017
Tipo de documento:
Article